Binary Search Based Flexible Power Point Tracking Algorithm for Photovoltaic Systems

Gómez‐Merchán, Rubén; Vázquez, Sergio; Alcaide, Abraham Marquez; Tafti, Hossein Dehghani; Leon, Jose I.; Pou, Josep; Rojas, Christian A.; Kouro, Samir; Franquelo, Leopoldo G.

doi:10.1109/tie.2020.2998743

Cited by 53 publications

(22 citation statements)

References 19 publications

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“…These step-sizes hold for a single PV module. The generalized equations of maximum perturbation step-sizes for IPA and VPA under start-up for a PV array are given in (7) and (8), respectively.…”

Section: B Perturbationmentioning

confidence: 99%

“…However, it is difficult to determine an optimum value of this parameter under low irradiance levels. In [7], the authors proposed a Binary search (BNS) based algorithm of high tracking speed by taking a window of lower and upper bounds in voltage. The iterative reduction in the window size to half of the previous search window helps in reducing the number of iterations.…”

Section: Introductionmentioning

confidence: 99%

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Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

Jately

Bhattacharya

Azzopardi

et al. 2021

IEEE Trans. Energy Convers.

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This paper formulates a maximum power point tracking (MPPT) technique that accurately tracks the maximum power point of photovoltaic (PV), which undergoes simultaneous or independent sudden changes in load resistance and irradiance. The proposed algorithm is fundamentally divided into three parts; current and voltage perturbation algorithm (IPA/VPA), perturbation step-size reduction algorithm (PSSRA) and a deviation avoidance loop. The use of dual perturbation parameters using IPA and VPA ensures high tracking speed. PSSRA iteratively reduces the perturbation step-size of IPA and VPA and helps in reducing the power oscillations around MPP. Finally, a deviation avoidance loop is developed to detect a change in irradiance by examining the sign of the slope of the two power curves, namely P-V and P-I. The algorithm compares the per unit change in voltage and current of PV, to determine a simultaneous change in both irradiance and load resistance. The proposed algorithm is compared with two recently developed MPPT algorithms. The results show that the proposed technique can track the MPP with high speed and low steady-state oscillations and does not deviate from the MPP tracking path regardless of fast changes in irradiance and load resistance.

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Section: B Perturbationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

Jately

Bhattacharya

Azzopardi

et al. 2021

IEEE Trans. Energy Convers.

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show abstract

“…This method provides closed-form solutions that immediately identify the MPP [66]. Examples of analytical GMPPT are the Jaya algorithm (JA) [67], binary search [68], generalised pattern search optimisation algorithm [69], Lipschitz optimisation [70], mine blast algorithm, and the teaching-learning based optimisation technique [71]. In general, their optimiser functions are purely mathematical formulas and not inspired by any particular biological or physical evolution.…”

Section: Analytical-based Gmpptmentioning

confidence: 99%

Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation

Kermadi

Salam

Eltamaly

et al. 2020

IET Renewable Power Generation

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This review covers global maximum power point tracking (GMPPT) methods for photovoltaic (PV) systems under partial shading conditions. Unlike the previous review works that primarily focused on soft computing and hybrid GMPPT, this study gives exclusive attention to the improvement achieved by the conventional MPPT (perturb and observe, hill climbing, and incremental conductance). The improved methods include the popular 0.8 × V oc model and, more recently, the skipping algorithms. In addition to providing qualitative descriptions of the available techniques, this work also attempts to provide a fair evaluation of GMPPT to determine their comparative performances. The competing algorithms, which are selected to represent every category (conventional and soft computing and hybrid MPPT), are benchmarked under carefully selected operating conditions and shading scenarios. The evaluation is focused on four main criteria: tracking accuracy, convergence time, length of voltage fluctuations, and transient efficiency during the search for the global maximum power point. The results obtained from this study can become a basis for researchers and designers to select the best MPPT technique for their respective applications.

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“…Based on the present maximum power of PV strings, the reserve part of the PV power can provide active power support to the grid when the grid frequency changes [24–26]. In addition to the P&O‐based FPPT algorithm, a binary search‐based FPPT algorithm has been proposed [27]. This algorithm has advantages in convergence rate, but the algorithm logic is too complicated.…”

Section: Introductionmentioning

confidence: 99%

Power reserve control strategy in the left‐side of maximum power point for primary frequency regulation of grid‐connected photovoltaic systems

Yan

Wang

Rasool³

et al. 2021

IET Power Electronics

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The traditional method of operating photovoltaic (PV) systems on the right side of the maximum power point (MPP) may cause the voltage to be close to the open‐circuit voltage of the PV panel, resulting in a large oscillation of the PV power. In contrast, the change in dP/dU value of the curve on the left of the MPP is small, which is more conducive to adjusting the output power of the PV. A frequency regulation control strategy is proposed for a single‐stage PV power plant (PVPP), maintaining the PV string operating on the left side of the MPP. This paper proposes an optimal step‐size calculation method based on the flexible power tracking evaluation function. This calculation method is suitable for PV operating on the left side of the MPP and can improve the dynamic and steady‐state performance of the PV power tracking process. In addition, the system response is analyzed by establishing a small‐signal model with PV operating on the left side of the MPP. Finally, simulations and experiments verify the correctness and accuracy of the proposed primary frequency regulation strategy and step‐size calculation method.

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Binary Search Based Flexible Power Point Tracking Algorithm for Photovoltaic Systems

Cited by 53 publications

References 19 publications

Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation

Power reserve control strategy in the left‐side of maximum power point for primary frequency regulation of grid‐connected photovoltaic systems

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